Improve the classifiers efficiency by handling missing values in diabetes dataset using WEKA filters

Author:

Devi G. Naga Rama,Ravi M.,Kumar A. Nirmal

Publisher

AIP Publishing

Reference12 articles.

1. Dr. R.S. Kamath, “WEKA Approach for Exploration Mining in Diabetic Patients Database”, Proceedings of UGC Sponsored National Workshop on Data Mining, Shivaji University, Kolhapur, December 17-18, 2013.

2. Murat Koklu, Yavuz Unal, “Analysis of a Population of Diabetic Patients Databases with Classifiers”, International Journal of Medical Science and Engineering World Academy of Science, Engineering and Technology, vol. 7, no. 8, 2013, pp. 772–774

3. P.Yasodha, M. Kannan, “Analysis of a Population of Diabetic Patients Databases in Weka Tool”, International Journal of Scientific & Engineering Research, vol. 2, no. 5, May 2011

4. Ashwinkumar U.M. and Dr Anandakumar K.R., “Predicting Early Detection of Cardiac and Diabetes Symptoms using Data Mining Techniques”, 2012 2nd International Conference on Computer Design and Engineering (ICCDE 2012), IPCSIT vol. 49 (2012) © (2012) IACSIT Press, Singapore.

5. Study on Dimensionality Reduction Techniques and Applications, by G. Naga Ramadevi and Dr. K. UshaRani, Proceedings of National Conference on ”Computer Science, Engineering and Applications”, Organized by Dept of Computer Science, SPMVV, Tirupati, A.P, from 9th&10th November 2012, Published in International Journal Publications of Problems and Applications in Engineering Research (IJPAPER), Volume 04,Special Issue-01,2013, ISSN: 2230-8547, e-ISSN: 2230-8555.

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